Google Analytics 4 (GA4) is the latest version of Google Analytics, and it offers a number of benefits over the previous Universal Analytics version that can be extremely helpful for businesses. Connecting your Google Analytics 4 property to BigQuery is easy and it allows you to gain a better understanding of your digital information and data. To learn more go to https://omisido.com/how-to-link-google-analytics-4-to-bigquery-the-ultimate-guide/

1. Google Analytics 4 and BigQuery:
The New Kids On The Block

2. Universal analytics is dead, long live GA4!

3. Love thy job!

4. Google analytics 4 history

5. Google analytics 4 history

6. Google analytics 4 losing historical data

7. Google analytics v Universal Analytics

8. Google analytics 4 benefits: You see more of the user journey

9. Google analytics 4 benefits: more focus on user engagement

10. Google analytics 4 benefits: more focus on user engagement
For a session to be considered engaged, a visitor
has to do one or more of the following:
• Engage actively on your website or mobile app for
over 10 seconds.
• Have two or more screen or page views.
• Fire a conversion event.

11. Google analytics 4 benefits: Enhanced visualisations and
reporting
In Universal Analytics, this suite of features (known as Advanced Analysis) was available only for paying users of GA360.
In GA4, this is a part of the built-in feature set!

12. Google analytics 4 benefits: Enhanced visualisations and
reporting
Bounce rate is the inverse of Engagement rate. This means that if someone viewed a single page and spent less that 10 seconds on that
page or they didn’t convert, then the session would be considered a bounce.
The Bounce rate metric
shows you the
percentage of
sessions that were not
engaged sessions.

13. Google analytics 4 benefits: DebugView
The easiest ay to activate the Debugging report, install the Google Analytics Debugger Chrome extension.

14. Google analytics 4 benefits: Free connection to BigQuery (Free at
last!)
10GB of free storage and free processing of up to 1TB of query data per month.

15. Google analytics 4 benefits: Holistic Approach to Data Management
https://omisido.com/how-to-create-google-data-studio-dashboards-for-seo/

16. Google analytics 4 + BigQuery: Top benefits
• Collect raw, unsampled data from your website – unlimited data retention period, analyse complete data etc.
• GA4 + BigQuery = a powerful CDP solution - build a single, coherent, complete view of each customer.
• Reports without restrictions - build reports with any number and combination of metrics you need or include
metrics from third-party sources such as a CRM.
• Custom attribution models based on your rules - build your own attribution models to evaluate the
contribution of each advertising channel to sales.
• Predicting conversions with a custom feature set - build your own predictive machine learning modules.
• Grouping individual channels - build reports with your own channel grouping (it can also be done with
Google Data Studio).

17. Google analytics 4 : Connect to BigQuery
• Step 1: Set up a Project in Google BigQuery
• Step 2: Enable Google Analytics 4 BigQuery Linking
• Step 3: Enable Google Cloud API
• Step 4: Create a Service account

18. Google analytics 4 : Connect to BigQuery
Step 4: Create a Service account
Step 1: Set up a Project in Google BigQuery Step 2: Enable Google Analytics 4 BigQuery Linking
Step 3: Enable Google Cloud API

19. Google analytics 4 : Connect to BigQuery
https://omisido.com/how-to-link-google-analytics-4-to-bigquery-the-ultimate-guide/

20. Google analytics 4 : BigQuery

21. Google analytics 4 : BigQuery Nested Fields

22. Google analytics 4 : BigQuery Nested Fields
SELECT
DISTINCT (
SELECT
value.string_value
FROM
UNNEST(event_params)
WHERE
key = 'page_title' ) AS Page_Title
FROM
-- Replace with your table name.
`ga4-omi-sido.analytics_251301421.events_*`
ORDER BY
1
LIMIT
10
To truly understand the UNNEST concept in detail visit this article by Todd Kerpelman.

23. Google analytics 4 : BigQuery Most Viewed Pages by Page Title
SELECT
value.string_value as Page_Title,
COUNT(*) as Page_Views
FROM
`ga4-omi-sido.analytics_251301421.events_*`,
UNNEST(event_params)
WHERE
key = "page_title"
AND event_name = "page_view"
GROUP BY
1
ORDER BY
2 DESC
LIMIT 10

24. Google analytics 4 : Learn SQL

25. Google analytics 4 : BigQuery Machine Learning

26. Google analytics 4 : BigQuery Machine Learning
Some of the models supported by BQML
 Linear regression (LINEAR_REG). This is the OG modelling technique, used to predict the
value of a continuous variable. This is what you'd use for questions like "how many units can
we expect a custom to buy?".
 Logistic regression (LOGISTIC_REG). This regression technique lets you classify which
category an observation fits in to. For example, "will this person buy the blue one or the red
one?".
 K-means (KMEANS). This is an unsupervised clustering algorithm. It lets you identify
categories. For example, "given all of the customers in our database, how could we identify
five distinct groups?".
 Tensorflow (TENSORFLOW). If you've already got a trained TensorFlow model, you can
upload it to BQML and serve it directly from there. You can't currently train a TensorFlow
model in BQML.
To learn more, go to https://cloud.google.com/bigquery-ml/docs/introduction

27. Love thy job!

28. Thank you
www.omisido.com